Alternatives and similar repositories for awesome-nonconvex-optimization

Users that are interested in awesome-nonconvex-optimization are comparing it to the libraries listed below

• bentoayr / ADMM-tutorial
  ☆34Updated 2 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated 2 years ago
• unc-optimization / StochasticProximalMethods
  A collection of stochastic proximal gradient methods for composite non-convex problems.
  ☆24Updated 5 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 6 years ago
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆47Updated 4 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆23Updated 6 years ago
• MatOpt / QSDPNAL
  A MATLAB software for convex quadratic semidefinite programming
  ☆14Updated 5 years ago
• HarlinLee / nonconvex-GTF-public
  Code for nonconvex graph trend filtering
  ☆10Updated 3 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 6 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆93Updated 4 years ago
• hoonose / sever
  [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization
  ☆30Updated 5 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆80Updated 3 years ago
• ntienvu / MiniBO
  Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
  ☆15Updated 3 years ago
• gpeyre / 2021-NonCvxPro
  ☆11Updated 4 years ago
• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆32Updated 6 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆119Updated 11 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 7 months ago
• zi-w / Structural-Kernel-Learning-for-HDBBO
  Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
  ☆15Updated 7 years ago
• HxSun08 / Alt-Diff
  ☆27Updated 2 years ago
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• bhushan23 / ADMM
  Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
  ☆159Updated 4 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• chokkyvista / daSVM
  Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"
  ☆18Updated 11 years ago
• hoonose / robust-filter
  [ICML 2017] Robust estimation of mean and covariance in high dimensions
  ☆33Updated 5 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆35Updated 4 years ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆34Updated 2 years ago
• KonstantinRiedl / CBOGlobalConvergenceAnalysis
  Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the p…
  ☆20Updated 2 years ago